Fingerprint Smart Signals is a device intelligence and fraud detection product that analyzes visitor behavior, network, device, and mobile signals to identify potentially fraudulent or suspicious activity. It is designed to augment existing fraud and risk engines via a simple API call. Smart Signals provides several categories of signals: **User Behavior Signals:** - Incognito mode detection - Browser tamper detection (spoofing and signature anomalies) - Rooted device detection (Android) - Privacy-focused browser detection (e.g., Tor, anti-fingerprinting browsers) - High-activity device flagging (unusual activity within 24 hours) - Velocity signals across three time-based intervals **Network Signals:** - IP geolocation - VPN detection (via IP/browser time zone mismatch) - IP blocklist matching against known malicious actors and spammers **Bot Detection Signals:** - Browser bot detection (automated tools, search bots, sophisticated threats) - Android emulator detection - Virtual machine detection **Device Data Signals:** - 35 raw browser identification attributes - Suspect Score: a weighted composite score of all available signals **Mobile Device Signals:** - Cloned app detection (Android) - Jailbroken device detection (iOS) - Frida detection (app tampering tool) - Factory reset detection with timestamp - Geolocation spoofing detection - Mobile VPN detection - Man-in-the-middle attack detection - Tampered request detection Smart Signals can be combined with Fingerprint's visitor identification system. The Suspect Score allows custom weighting of individual signals to adjust risk tolerance. The product is accessible via API and includes analytics dashboards.